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Opportunities for Advantage: A Real-Time, Precise, Accurate, Interoperable OS for Autonomous Systems

In the OODA Almanac 2022 – Exponential Disruption, OODA CEO Matt Devost provided our initial position (or working hypothesis) for the exploration of “Autonomous Everything” throughout the 2022 calendar year of OODA research and analysis:

“Handing over the figurative and literal keys:  Every year more robots enter our businesses and private lives. One of the most visible examples of advancing automation is Tesla’s Full Self Driving (FSD) capability, which leverages advanced computer vision, machine learning, neural networks, and control of a self-contained electric vehicle. Other emerging examples include a humanoid robot called digit from Agility Robotics that is designed to work with humans in a factory or retail environment. The rise of smart cities is fueling more connections to physical systems such as automated traffic flow and water and power management. AI and machine learning is also automating data analytics and improving IT-based workflows and we expect improved support for automated workflows by complex physical and tech systems.”

This post expands on this initial position and our ongoing research on the future of autonomous systems.

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Daniel Pereira

Daniel Pereira

Daniel Pereira is research director at OODA. He is a foresight strategist, creative technologist, and an information communication technology (ICT) and digital media researcher with 20+ years of experience directing public/private partnerships and strategic innovation initiatives.